- extracting knowledge and meaning from (big) data
- statistics, mathematics, computer science
- Where do the data come from?
April 2, 2019
\(>\) 90% of researchers in the biological sciences work with or plan to work with big data
(Williams & Teal 2017)\(>\) 60% of researchers in the biological sciences report a need for more training in data science
Meta-analysis 2013 - 2016(Williams et al 2017)
Experiential
Data science for
Undergraduate
Cross-disciplinary
Education
MICB 301
MICB 405
MICB 322
MICB 425
4. Already overly full curricula
5. Limited access to resources
How would you rate your interest in…
How would you rate your interest in…
What level of experience do you have in …
What level of experience do you have in …
A wealth of survey data to mine
Repetition across 3 years for statistical analyses
More courses? Other departments?
Faculty of Science Data Science Committee
Steven Hallam
Jennifer Bonderoff
Yue Liu (App MATH)
Julia Beni (U. Minnesota)
Kris Hong (CPSC, STAT)
Jonah Lin (MICB, CPSC)
Lisa McEwen (MedGen)
Ryan McLaughlin (BINFO)
Connor Morgan-Lang (BINFO)
Nolan Shelley (Botany)
David Yin (CPSC, STAT)
Sean Crowe
Lindsay Eltis
Jennifer Gardy
Marcia Graves
Martin Hirst
Bill Mohn
Dave Oliver
Jen Sibley
Gaby Cohen-Freue (STAT)
Patrick Walls (MATH)
Biljana Stojkova (ASDa)
UBC Teaching and Learning Enhancement Fund (TLEF)
NSERC CREATE Program (ECOSCOPE)
Department of Microbiology & Immunology
UBC Skylight and the Center for Teaching, Learning and Technology (CTLT)
Postdoctoral Teaching and Learning Fellow
Attwood TK et al 2017. A global perspective on evolving bioinformatics and data science training needs. Brief Bioinform. 20(2):398-404. doi: 10.1093/bib/bbx100
Williams JJ et al 2017. Barriers to integration of bioinformatics into undergraduate life sciences education. BioRxiv. doi: 10.1101/204420
Williams JJ & Teal TK. 2017. A vision for collaborative training infrastructure for bioinformatics. Ann N Y Acad Sci. 1387(1):54-60_ doi: 10.1111/nyas.13207
Have you heard the term 'data science'?